Signalized intersection in Kunshan. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Dynamic system state in demand scenarios 2. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Survey data of the intersection. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

The main notations used in this paper. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Feedback elimination for feedback queue. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

A typical cross signalized intersection. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Four signal stages for the intersection. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Dynamic system state in demand scenarios 3. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Dynamic system state in demand scenarios 1. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Characteristics comparison of related literature. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Experimental and Numerical Investigations of Soot Formation in the Laminar to Turbulent Transition of an Acetylene Diffusion Flame by Shijun Chen (835302)

“…Results from different regimes indicate the following: (1) In the laminar state, <i>ṁ</i>_soot increased linearly with <i>Re</i>, with a growth rate positively correlated with the tube diameter. (2) After entering the transitional state, <i>ṁ</i>_soot decreased exponentially by over 95%; <i>T</i> gradually increased by 150 K; and both SPL and the standard deviation of <i>T</i> (σ_<i>T</i>) initially rose and then declined. (3) After entering the fully turbulent state, SPL increased again whereas σ_<i>T</i> stabilized at 14. …”

Antibodies information. by Xin Zhang (35492)

“…On histology of rat spinal tissue, compared with SCI rats, the combined treatment significantly increased neuron counts and BDNF levels, and significantly reduced the percentage of TUNEL-positive cells (all P<0.0001). …”

Effects of a DCL on the number of 50-kHz USVs induced by rhythmic stroking. by Rie Shimoju (20940045)

Sequential infection does not alter relative proportions of white blood cells. by Yuhao Li (1559569)

Orthogonal experiment scheme and results. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Design variables and range of values. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Comparison of precision of various proxy models. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Comparison between actual and predicted values. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Sample points and numerical simulation results. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Three-dimensional heat transfer model parameters. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”